Title: Gemma 3 1B It vs Gemma 3 27B It: Parameters, Licentie %E2%80%94 LLM EU
Canonical: https://llmeu.com/nl/compare/gemma-3-1b-it-vs-gemma-3-27b-it/
Markdown mirror: https://llmeu.com/nl/compare/gemma-3-1b-it-vs-gemma-3-27b-it.md
Machine-readable: https://llmeu.com/llms.txt (index) - https://llmeu.com/llms-full.txt (full catalogue) - https://llmeu.com/llms-catalogue.json

# Gemma 3 1B It vs Gemma 3 27B It

Zet twee tot vier modellen naast elkaar op de velden die een deployment bepalen: context, prijs, regio, licentie, talen, hosting en wat is geverifieerd.

Waar twee modellen verschillen, toont deze tabel het verschil en stopt. LLM EU publiceert geen winnaarsbadge zonder een gedocumenteerde score voor die taak, en een ontbrekend cijfer blijft ontbreken in plaats van een nul te worden.

## Wanneer te gebruiken

### [Gemma 3 1B It](/nl/models/gemma-3-1b-it/)

#### Sterke punten

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- at 1B parameters it fits on a single accelerator
- instruction-tuned checkpoint with a chat template in the repository

#### Beperkingen

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 1B parameters, the weights fit on a single modest accelerator

#### Taken

[Meertalige ondersteuning](/nl/tasks/multilingual-support/), [Lage kosten](/nl/tasks/cheap/)

### [Gemma 3 27B It](/nl/models/gemma-3-27b-it/)

#### Sterke punten

- open weights are published on Hugging Face and can be downloaded without a vendor agreement
- instruction-tuned checkpoint with a chat template in the repository

#### Beperkingen

- catalogue only %E2%80%94 LLM EU does not run this model, and nothing on this card implies an LLM EU endpoint
- no evaluation has been run by LLM EU
- the published configuration records no context window, so the card carries none
- at 27.4B parameters, self-hosting needs a single accelerator with enough memory for the weights
- vision checkpoints are heavier to serve than their parameter count alone suggests, because the image encoder and pre-processing run alongside the language model

#### Taken

[Meertalige ondersteuning](/nl/tasks/multilingual-support/), [Visie](/nl/tasks/vision/), [Redeneren](/nl/tasks/reasoning/)

**Taken:** [Meertalige ondersteuning](/nl/tasks/multilingual-support/)

## Modellen vergelijken

- [Bloom 1b1 vs Gemma 3 1B It](/nl/compare/bloom-1b1-vs-gemma-3-1b-it/)
- [Bloom 560M vs Gemma 3 1B It](/nl/compare/bloom-560m-vs-gemma-3-1b-it/)
- [Bloomz 560M vs Gemma 3 1B It](/nl/compare/bloomz-560m-vs-gemma-3-1b-it/)
- [Command R (08-2024) vs Gemma 3 27B It](/nl/compare/command-r-08-2024-vs-gemma-3-27b-it/)
- [DeepSeek R1 Distill Qwen 1.5B vs Gemma 3 1B It](/nl/compare/deepseek-r1-distill-qwen-1-5b-vs-gemma-3-1b-it/)
- [DeepSeek R1 Distill Qwen 14B vs Gemma 3 27B It](/nl/compare/deepseek-r1-distill-qwen-14b-vs-gemma-3-27b-it/)